Wang, Lijuan, Yan, Yong, Chen, Chih-Yen, Alessi, Enrico, Gubellini, Luca, Fabio, Passaniti (2024) Human presence and motion detection through electrostatic sensing. In: IMEKO 2024 XXIV World Congress. . (In press) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:106869)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication) |
Abstract
Human motion detection is essential in a wide range of applications. In view of the advantages of non-contact sensing, high sensitivity, fast response, simple installation and low cost, electrostatic sensors in different sizes and arrangements have been developed for human motion detection recently. This paper evaluates for the first time the performance of electrostatic sensors for human presence and motion detection. Experimental tests were conducted to obtain and analyse sensor signals of typical walking and stepping motions. The effects of sensor location, ambient conditions and the subject under test on the sensor output are quantified through systematic experimental testing.
Item Type: | Conference or workshop item (Paper) |
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Lijuan Wang |
Date Deposited: | 13 Aug 2024 12:12 UTC |
Last Modified: | 14 Aug 2024 10:47 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/106869 (The current URI for this page, for reference purposes) |
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